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Artificial Intelligence and Applied Mathematics in Engineering Problems

Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019)

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. D. Jude Hemanth

    1. Department of ECE, Karunya University, Coimbatore, India

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    You can also search for this editor in PubMed   Google Scholar

  2. Utku Kose

    1. Department of Computer Engineering, Faculty of Engineering, Suleyman Demirel University, Isparta, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  • Discusses recent research on artificial intelligence and applied mathematics in engineering problems
  • Presents the proceedings of the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019), held in Antalya, Turkey, on 20th–22nd April 2019
  • Focuses on technological innovations and trendsetting initiatives applicable for engineering-oriented stakeholders

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 43)

Included in the following conference series:

Conference proceedings info: ICAIAME 2019.

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Table of contents (94 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. State and Trends of Machine Learning Approaches in Business: An Empirical Review

    • Samia Chehbi-Gamoura, Ridha Derrouiche, Halil-Ibrahim Koruca, Umran Kaya
    Pages 1-16

  3. Piecewise Demodulation Based on Combined Artificial Neural Network for Quadrate Frequency Shift Keying Communication Signals

    • Nihat Daldal, Kemal Polat
    Pages 17-24

  4. A New Variable Ordering Method for the K2 Algorithm

    • Betül Uzbaş, Ahmet Arslan
    Pages 25-34

  5. A Benefit Optimization Approach to the Evaluation of Classification Algorithms

    • Shellyann Sooklal, Patrick Hosein
    Pages 35-46

  6. Feature Extraction of Hidden Oscillation in ECG Data via Multiple-FOD Method

    • Ekin Can Erkuş, Vilda Purutçuoğlu
    Pages 47-56

  7. Financial Fraud Detection Through Artificial Intelligence

    • Roman Rodriguez-Aguilar, Jose A. Marmolejo-Saucedo, Pandian Vasant, Igor Litvinchev
    Pages 57-72

  8. Deep Learning-Based Software Energy Consumption Profiling

    • Muhammed Maruf Öztürk
    Pages 73-83

  9. Implementation of GIS for the Sanitation System in El-Oued City

    • Brarhim Lejdel
    Pages 84-95

  10. Prediction of Potential Bank Customers: Application on Data Mining

    • Muhammet Sinan Başarslan, İrem Düzdar Argun
    Pages 96-106

  11. The Model Selection Methods for Sparse Biological Networks

    • Mehmet Ali Kaygusuz, Vilda Purutçuoğlu
    Pages 107-126

  12. ICS Cyber Attack Analysis and a New Diagnosis Approach

    • Ercan Nurcan Yılmaz, Hasan Hüseyin Sayan, Furkan Üstünsoy, Serkan Gönen, Erhan Sindiren, Gökçe Karacayılmaz
    Pages 127-141

  13. Investigating the Impact of Code Refactoring Techniques on Energy Consumption in Different Object-Oriented Programming Languages

    • Ibrahim Sanlialp, Muhammed Maruf Ozturk
    Pages 142-152

  14. Determination of Numerical Papillae Distribution Affecting the Taste Sensitivity on the Tongue with Image Processing Techniques

    • Sefa Çetinkol, İsmail Serkan Üncü
    Pages 153-170

  15. Comparison of Image Quality Measurements in Threshold Determination of Most Popular Gradient Based Edge Detection Algorithms Based on Particle Swarm Optimization

    • Nurgül Özmen Süzme, Gür Emre Güraksın
    Pages 171-181

  16. A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data

    • H. A. Shehu, S. Tokat
    Pages 182-190

  17. Text Mining and Statistical Learning for the Analysis of the Voice of the Customer

    • Rosalía Andrade Gonzalez, Roman Rodriguez-Aguilar, Jose A. Marmolejo-Saucedo
    Pages 191-199

  18. A Decision Support System for Role Assignment in Software Project Management with Evaluation of Personality Types

    • Azer Celikten, Eda Kurt, Aydin Cetin
    Pages 200-210

  19. A Survey of Methods for the Construction of an Intrusion Detection System

    • Abdel Karim Kassem, Shymaa Abo Arkoub, Bassam Daya, Pierre Chauvet
    Pages 211-225

  20. A Novel Hybrid Model for Vendor Selection in a Supply Chain by Using Artificial Intelligence Techniques Case Study: Petroleum Companies

    • Mohsen Jafari Nodeh, M. Hanefi Calp, İsmail Şahin
    Pages 226-251
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About this book

This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics.

Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.


Editors and Affiliations

  • Department of ECE, Karunya University, Coimbatore, India

    D. Jude Hemanth

  • Department of Computer Engineering, Faculty of Engineering, Suleyman Demirel University, Isparta, Turkey

    Utku Kose

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